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Vehicular energy network (VEN) enhances energy transportation across regions, supporting smart cities with features like energy path optimization and power loss minimization. This study implements optimization techniques, including Dijkstra’s algorithm, achieving up to 25% energy loss reduction and a 15% improvement in computational efficiency over heuristic methods. Real world applicability is highlighted through practical network designs. Comparative analyses demonstrate scalability and effectiveness in complex networks.

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Optimized Vehicular Energy Network: Energy Path Design and Power Loss Minimization for Smart Cities

  • 会议论文

  • 发表日期：

    2026年

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  • Peniasi Lewadamu,
  • Asesela Sivo,
  • Mansour H. Assaf,
  • Rahul Kumar,
  • Bibhya Sharma,
  • Shahil Kumar,
  • Kabir Mamun

摘要

Vehicular energy network (VEN) enhances energy transportation across regions, supporting smart cities with features like energy path optimization and power loss minimization. This study implements optimization techniques, including Dijkstra’s algorithm, achieving up to 25% energy loss reduction and a 15% improvement in computational efficiency over heuristic methods. Real world applicability is highlighted through practical network designs. Comparative analyses demonstrate scalability and effectiveness in complex networks.